12/8/2025
Qlean Dataset Releases Japanese Crime-Themed Monologue Speech Corpus for ASR and Language Modeling
Visual Bank Inc.（Minato-ku, Tokyo; CEO: Saneyuki Nagai, hereinafter “Visual Bank”）has released the Japanese Single-Speaker Crime-Themed Monologue Speech Corpus under its AI training data solution Qlean Dataset, operated through its subsidiary Amanaimages Inc.
This dataset contains single-speaker narrative audio on topics related to incidents and crimes, and is designed for applications in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and the development of generative AI foundation models.
The dataset consists of continuous explanatory monologues covering historical cases, legal and institutional topics, and social issues related to crime.
It is structured as long-form monologue speech that includes natural topic shifts, context-dependent narration, opinion structuring, and episodic explanations.
All recordings are natural speech not dependent on scripted text.
The total recording duration is approximately 350 hours, with individual audio lengths ranging from 5 to 40 minutes.
The dataset includes male and female speakers in their 20s to 50s and is provided in 44.1 kHz mp3 format suitable for training and evaluation.
Because the dataset contains natural speech with explanatory and domain-specific content related to crime, it is suited for evaluating AI models that require contextual understanding, long-form audio processing, and semantic comprehension.
It can be used for improving ASR accuracy in professional environments, extending knowledge for generative AI systems, and evaluating dialogue models in academic and education-oriented research settings.
Dataset Overview – “Japanese Single-Speaker Crime-Themed Monologue Speech Corpus”
Data Type | Audio |
|---|---|
Speaker Attributes | Male and female speakers in their 20s to 50s |
Format | mp3 |
Total Duration | Approx. 350 hours (5–40 minutes per audio) |
Sampling Rate | 44.1 kHz |
Recorded Scenes | ・Continuous explanations and commentary by a speaker on themes related to incidents and crimes |
Sample Page |
Use Case Examples – “Japanese Single-Speaker Crime-Themed Monologue Speech Corpus”
【Academic Research】
ASR research on long-form Japanese monologues
The dataset enables evaluation of Japanese ASR systems on context-dependent narration that includes natural topic transitions in the crime domain.Evaluation of NLP models for contextual understanding and summarization
Its long-form monologue structure supports tasks such as semantic unit extraction, discourse analysis, and summarization model benchmarking.
【Industrial Applications】
Enhancing accuracy of AI systems handling domain-specific speech input
Because the dataset includes specialized vocabulary related to crime and institutional explanations, it can be used to improve speech processing for call centers, knowledge-base search AI, and domain-specific conversational AI.Strengthening multimodal generative AI pipelines (speech → text → semantic understanding)
Natural monologue audio enables performance improvement for tasks such as speech-based summarization and explanatory text generation.
【Education / Public-Sector Use】
AI research for judicial and social education applications
Explanatory audio on crime topics can be used as foundational material for developing AI systems that support educational content, including automated explanation generation and speech understanding.
About Qlean Dataset
Qlean Dataset is a commercial-use-ready AI training data solution provided by Amana Images Inc., a subsidiary of Visual Bank Inc.
It supports diverse data types including images, videos, audio, 3D, and text—enabling both research and commercial AI development in a legally safe environment.
Through collaborations with data partners such as Chiba Lotte Marines Co., Ltd. and Toyo Keizai Inc., Qlean Dataset continuously expands its specialized, industry-relevant lineup known as the “AI Data Recipe.”
By reducing the operational burden of data collection and preparation, Qlean Dataset helps build legally compliant and risk-free AI development environments.
▶ Qlean Dataset: https://qleandataset.visual-bank.co.jp/en
▶ AI Data Recipe: https://qleandataset.visual-bank.co.jp/en/lineup
Key Features of Qlean Dataset
Full consent obtained from all subjects; compliant with GDPR and CCPA
Existing datasets deliverable within one business day
Custom data collection and recording available
▶ Contact: https://qleandataset.visual-bank.co.jp/en/contact
About Visual Bank Inc.
Visual Bank Inc. is a Tokyo-based startup building next-generation data infrastructure to maximize AI development capabilities under the mission, “Unlock the potential of all data.”
The company operates THE PEN, an AI-assisted creative tool for manga artists, and wholly owns Amana Images Inc., which provides the Qlean Dataset service.
CEO: Saneyuki Nagai
Address: C-Cube Minami Aoyama Building 6F, 7-1-7 Minami-Aoyama, Minato-ku, Tokyo 107-0062
Corporate Site: https://visual-bank.co.jp/en/
Amana Images: https://qleandataset.visual-bank.co.jp/en/company-overview
